TY - BOOK ID - 37302637 TI - Complex Networks in Software, Knowledge, and Social Systems AU - Savić, Miloš. AU - Ivanović, Mirjana. AU - Jain, Lakhmi C. PY - 2019 SN - 3319911961 3319911945 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - System theory. KW - Complexity. KW - Software architecture. KW - Engineering. KW - Artificial intelligence. KW - Library science. KW - Computational Intelligence. KW - Artificial Intelligence. KW - Applications of Graph Theory and Complex Networks. KW - Library Science. KW - Librarianship KW - Library economy KW - Bibliography KW - Documentation KW - Information science KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Construction KW - Industrial arts KW - Technology KW - Computational intelligence. KW - Computational complexity. KW - Physics. KW - Natural philosophy KW - Philosophy, Natural KW - Physical sciences KW - Dynamics KW - Complexity, Computational KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Systems, Theory of KW - Systems science KW - Science KW - Architecture, Software KW - Computer software KW - Computer software architecture KW - Philosophy KW - Architecture KW - Design UR - https://www.unicat.be/uniCat?func=search&query=sysid:37302637 AB - This book provides a comprehensive review of complex networks from three different domains, presents novel methods for analyzing them, and highlights applications with accompanying case studies. Special emphasis is placed on three specific kinds of complex networks of high technological and scientific importance: software networks extracted from the source code of computer programs, ontology networks describing semantic web ontologies, and co-authorship networks reflecting collaboration in science. The book is primarily intended for researchers, teachers and students interested in complex networks and network data analysis. However, it will also be valuable for researchers dealing with software engineering, ontology engineering and scientometrics, as it demonstrates how complex network analysis can be used to address important research issues in these three disciplines. ER -